Nikos Karampatziakis

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 22

Top Topics

Customer Support

Distributed Learning

Randomized Algorithm

Top Venues

Publications

Yixiao Li, Yifan Yu, Chen Liang, Nikos Karampatziakis, Pengcheng He, Weizhu Chen, Tuo Zhao
LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models. ICLR (2024)
Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR (2024)
Ziyu Xu, Nikos Karampatziakis, Paul Mineiro
Active, anytime-valid risk controlling prediction sets. CoRR (2024)
Yifang Chen, Shuohang Wang, Ziyi Yang, Hiteshi Sharma, Nikos Karampatziakis, Donghan Yu, Kevin G. Jamieson, Simon Shaolei Du, Yelong Shen
Cost-Effective Proxy Reward Model Construction with On-Policy and Active Learning. CoRR (2024)
Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
Meet in the Middle: A New Pre-training Paradigm. CoRR (2023)
Yixiao Li, Yifan Yu, Chen Liang, Pengcheng He, Nikos Karampatziakis, Weizhu Chen, Tuo Zhao
LoftQ: LoRA-Fine-Tuning-Aware Quantization for Large Language Models. CoRR (2023)
Anh Nguyen, Nikos Karampatziakis, Weizhu Chen
Meet in the Middle: A New Pre-training Paradigm. NeurIPS (2023)
Ian Waudby-Smith, Lili Wu, Aaditya Ramdas, Nikos Karampatziakis, Paul Mineiro
Anytime-valid off-policy inference for contextual bandits. CoRR (2022)
Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas
Off-Policy Confidence Sequences. ICML (2021)
Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen
Contextual Bandit Applications in a Customer Support Bot. KDD (2021)
Nikos Karampatziakis, Paul Mineiro, Aaditya Ramdas
Off-policy Confidence Sequences. CoRR (2021)
Sandra Sajeev, Jade Huang, Nikos Karampatziakis, Matthew Hall, Sebastian Kochman, Weizhu Chen
Contextual Bandit Applications in Customer Support Bot. CoRR (2021)
Nikos Karampatziakis, John Langford, Paul Mineiro
Empirical Likelihood for Contextual Bandits. NeurIPS (2020)
Nikos Karampatziakis, John Langford, Paul Mineiro
Empirical Likelihood for Contextual Bandits. CoRR (2019)
Nikos Karampatziakis, Sebastian Kochman, Jade Huang, Paul Mineiro, Kathy Osborne, Weizhu Chen
Lessons from Real-World Reinforcement Learning in a Customer Support Bot. CoRR (2019)
Ning Gao, Nikos Karampatziakis, Rahul Potharaju, Silviu Cucerzan
Active Entity Recognition in Low Resource Settings. CIKM (2019)
Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro
Logarithmic Time One-Against-Some. ICML (2017)
Rashish Tandon, Qi Lei, Alexandros G. Dimakis, Nikos Karampatziakis
Gradient Coding: Avoiding Stragglers in Distributed Learning. ICML (2017)
He He, Paul Mineiro, Nikos Karampatziakis
Active Information Acquisition. CoRR (2016)
Rashish Tandon, Qi Lei, Alexandros G. Dimakis, Nikos Karampatziakis
Gradient Coding. CoRR (2016)
Hal Daumé III, Nikos Karampatziakis, John Langford, Paul Mineiro
Logarithmic Time One-Against-Some. CoRR (2016)
Kalina Jasinska, Nikos Karampatziakis
Log-time and Log-space Extreme Classification. CoRR (2016)
Paul Mineiro, Nikos Karampatziakis
Fast Label Embeddings for Extremely Large Output Spaces. ICLR (Workshop) (2015)
Paul Mineiro, Nikos Karampatziakis
A Hierarchical Spectral Method for Extreme Classification. CoRR (2015)
Nikos Karampatziakis, Paul Mineiro
Multilabel Prediction via Calibration. CoRR (2015)
Paul Mineiro, Nikos Karampatziakis
Fast Label Embeddings via Randomized Linear Algebra. ECML/PKDD (1) (2015)
Paul Mineiro, Nikos Karampatziakis
Fast Label Embeddings for Extremely Large Output Spaces. CoRR (2014)
Alekh Agarwal, Sham M. Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant
Least Squares Revisited: Scalable Approaches for Multi-class Prediction. ICML (2014)
Paul Mineiro, Nikos Karampatziakis
A Randomized Algorithm for CCA. CoRR (2014)
Nikos Karampatziakis, Paul Mineiro
Discriminative Features via Generalized Eigenvectors. ICML (2014)
Xi C. Chen, Abdullah Mueen, Vijay K. Narayanan, Nikos Karampatziakis, Gagan Bansal, Vipin Kumar
Online Discovery of Group Level Events in Time Series. SDM (2014)
Alekh Agarwal, Sham M. Kakade, Nikos Karampatziakis, Le Song, Gregory Valiant
Least Squares Revisited: Scalable Approaches for Multi-class Prediction. CoRR (2013)
Nikos Karampatziakis, Paul Mineiro
Combining Structured and Unstructured Randomness in Large Scale PCA. CoRR (2013)
Nikos Karampatziakis, Paul Mineiro
Discriminative Features via Generalized Eigenvectors. CoRR (2013)
Zhen Qin, Vaclav Petricek, Nikos Karampatziakis, Lihong Li, John Langford
Efficient Online Bootstrapping for Large Scale Learning. CoRR (2013)
Paul Mineiro, Nikos Karampatziakis
Loss-Proportional Subsampling for Subsequent ERM. ICML (3) (2013)
Paul Mineiro, Nikos Karampatziakis
Loss-Proportional Subsampling for Subsequent ERM. CoRR (2013)
Nikos Karampatziakis, Jack W. Stokes, Anil Thomas, Mady Marinescu
Using File Relationships in Malware Classification. DIMVA (2012)
Nikos Karampatziakis, John Langford
Online Importance Weight Aware Updates. UAI (2011)
Miroslav Dudík, Daniel J. Hsu, Satyen Kale, Nikos Karampatziakis, John Langford, Lev Reyzin, Tong Zhang
Efficient Optimal Learning for Contextual Bandits. UAI (2011)
Miroslav Dudík, Daniel J. Hsu, Satyen Kale, Nikos Karampatziakis, John Langford, Lev Reyzin, Tong Zhang
Efficient Optimal Learning for Contextual Bandits CoRR (2011)
Daniel J. Hsu, Nikos Karampatziakis, John Langford, Alexander J. Smola
Parallel Online Learning CoRR (2011)
Nikos Karampatziakis
Static Analysis of Binary Executables Using Structural SVMs. NIPS (2010)
Nikos Karampatziakis, John Langford
Importance Weight Aware Gradient Updates CoRR (2010)